Chapter 1

Problem Solving and Search

State space representations and search strategies

medium • 1 min read

Uninformed search (BFS, DFS, Iterative Deepening)

medium • 2 min read

Informed search (A*, heuristics admissibility)

medium • 3 min read

Local search algorithms and Simulated Annealing

medium • 4 min read

Adversarial search: Minimax and Alpha-Beta pruning

medium • 5 min read

Chapter 2

Knowledge Representation and Reasoning

Propositional logic and First-Order Logic (FOL)

medium • 1 min read

Resolution, unification, and theorem proving

medium • 2 min read

Semantic networks, frames, and ontologies

medium • 3 min read

Description logics and knowledge graphs

medium • 4 min read

Reasoning under uncertainty (Bayesian networks)

medium • 5 min read

Chapter 3

Planning and Decision Making

Classical planning (STRIPS representation)

medium • 1 min read

Partial-order planning and graph-based planning

medium • 2 min read

Markov Decision Processes (MDPs)

medium • 3 min read

Value iteration and policy iteration algorithms

medium • 4 min read

Partially Observable MDPs (POMDPs)

medium • 5 min read

Chapter 4

Reinforcement Learning

Exploration vs exploitation dilemma

medium • 1 min read

Monte Carlo methods and Temporal Difference learning

medium • 2 min read

Q-Learning and SARSA algorithms

medium • 3 min read

Deep Reinforcement Learning (DQN, Actor-Critic)

medium • 4 min read

Applications of RL in robotics and games

medium • 5 min read

Chapter 5

Advanced AI Paradigms

Evolutionary computation and Genetic Algorithms

medium • 1 min read

Swarm intelligence (Ant Colony Optimization)

medium • 2 min read

Fuzzy logic, fuzzy sets, and fuzzy inference systems

medium • 3 min read

Multi-agent systems and game theory applications

medium • 4 min read

Ethical considerations, AI safety, and explainable AI

medium • 5 min read